Energy efficient distributed image compression in resource-constrained multihop wireless networks

H Wu, AA Abouzeid - Computer Communications, 2005 - Elsevier
Efficient compression and transmission of images in a resource-constrained multihop
wireless network is considered. Distributed image compression is proposed as a means to …

Saliency detection via multiple-morphological and superpixel based fast fuzzy C-mean clustering network

M Nawaz, H Yan - Expert Systems with Applications, 2020 - Elsevier
To model a human perception-based saliency detection algorithm in cluttered and noisy
background images is a challenging problem in computer vision. Recently, many saliency …

Evit: Privacy-preserving image retrieval via encrypted vision transformer in cloud computing

Q Feng, P Li, Z Lu, C Li, Z Wang, Z Liu… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Image retrieval systems help users to browse and search among extensive images in real
time. With the rise of cloud computing, retrieval tasks are usually outsourced to cloud …

Error resilient image transport in wireless sensor networks

H Wu, AA Abouzeid - Computer Networks, 2006 - Elsevier
In this paper, we propose an “in-network” diversity combining scheme for image transport
over wireless sensor networks. We consider a wireless sensor network with both wireless …

[PDF][PDF] Energy efficient distributed JPEG2000 image compression in multihop wireless networks

H Wu, AA Abouzeid - Proc. of IEEE Workshop on Applications and …, 2004 - Citeseer
The problem of energy efficient image transmis-sion over a resource constrained multi-hop
wireless network is considered. Two methods of data exchange in distributed wavelet …

Power aware image transmission in energy constrained wireless networks

H Wu, AA Abouzeid - Proceedings. ISCC 2004. Ninth …, 2004 - ieeexplore.ieee.org
We consider transmitting images in a multihop wireless network with the minimal total power
consumption while satisfying an end-to-end image quality constraint. Contrary to popular …

Approximately Invertible Neural Network for Learned Image Compression

Y Gao, M Fu, S Li, C Lv, X Cai, H Yuan, M Ye - arxiv preprint arxiv …, 2024 - arxiv.org
Learned image compression have attracted considerable interests in recent years. It
typically comprises an analysis transform, a synthesis transform, quantization and an …

RGB-D Data Compression via Bi-Directional Cross-Modal Prior Transfer and Enhanced Entropy Modeling

Y Xu, P Zhang, M Chen, Q Zhang, W Wu… - ACM Transactions on …, 2024 - dl.acm.org
RGB-D data, being homogeneous cross-modal data, demonstrates significant correlations
among data elements. However, current research focuses only on a uni-directional pattern …

Spectral Image Tokenizer

C Esteves, M Suhail, A Makadia - arxiv preprint arxiv:2412.09607, 2024 - arxiv.org
Image tokenizers map images to sequences of discrete tokens, and are a crucial component
of autoregressive transformer-based image generation. The tokens are typically associated …

[PDF][PDF] High efficiency EBCOT with parallel coding architecture for JPEG2000

JS Chiang, CH Chang, CY Hsieh, CH Hsia - EURASIP Journal on …, 2006 - Springer
This work presents a parallel context-modeling coding architecture and a matching
arithmetic coder (MQ-coder) for the embedded block coding (EBCOT) unit of the JPEG2000 …